ImputeSAVER: Use SAVER
In beyergroup/ADImpute: Adaptive Dropout Imputer (ADImpute)
Description
Usage
Arguments
Value
See Also
Description
ImputeSAVER uses the SAVER package for dropout
imputation
Usage
1
ImputeSAVER(data, cores, try.mean = FALSE, write = FALSE)
Arguments
data
matrix with entries equal to zero to be imputed, normalized
(genes as rows and samples as columns)
cores
integer; number of cores to use
try.mean
logical; whether to additionally use mean gene expression
as prediction
write
logical; should a file with the imputation results be written?
Value
matrix; imputation results from SAVER
See Also
beyergroup/ADImpute documentation built on Dec. 19, 2021, 8:48 a.m.
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Description Usage Arguments Value See Also
Description
ImputeSAVER uses the SAVER package for dropout
imputation
Usage
1 | ImputeSAVER(data, cores, try.mean = FALSE, write = FALSE)
|
Arguments
data |
matrix with entries equal to zero to be imputed, normalized (genes as rows and samples as columns) |
cores |
integer; number of cores to use |
try.mean |
logical; whether to additionally use mean gene expression as prediction |
write |
logical; should a file with the imputation results be written? |
Value
matrix; imputation results from SAVER
See Also
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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